General graph random walk has been successfully applied in multi-document
summarization, but it has some limitations to process documents by this way. In this paper …

Seeking bits of useful information from a large amount of data on the Web still remains a
difficult and time consuming task for a wide range of people such as students, reporters, and …

Conventional search engines usually return a ranked list of web pages in response to a
query. Users have to visit several pages to locate the relevant parts. A promising future …

The novelty of zero-shot text classification can address the fundamental challenge of the
lack of labeled training data. With the current plethora of multidisciplinary, unstandardized …

Graph-based ranking algorithm has been recently exploited for summarization by using
sentence-to-sentence relationships. Given a document set with linkage information to …

Topic‐focused multidocument summarization has been a challenging task because the
created summary is required to be biased to the given topic or query. Existing methods …

In the last decade, large numbers of social media services have emerged and been widely
used in people's daily life as important information sharing and acquisition tools. With a …